What the Data for This Category Looks Like
This category covers the full production process for color printing, labels, cartons, flexible packaging, and pharmaceutical packaging materials. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first-piece proofing, barcode inspection, and die-cutting and lamination records. Data sources include customer manuscripts, color management systems, printing press operation data, ink and substrate batch ledgers, spectrophotometer test results, and barcode detector readings. Data updates trigger with each order, production batch, or plate change. A single document includes fields such as version number, batch number, color parameters, and test results. Units are adjusted based on the test item or process parameter.
What Constraints These Characteristics Pose for the "Source Citation and Traceability" Link
Process documents and test data for this category update frequently with production batches and plate changes. Ensure traceability citations use the accurate version for the corresponding batch to avoid mixing cross-batch data. Multi-source data such as printing press operation data and spectrophotometer color test results must be clearly tied to the same production link. Otherwise, audit basis conflicts will occur. Pre-press files are closely linked to plate versions. Citation traceability must bind to plate version IDs to prevent incorrect plate citations. Test data for barcodes, die-cutting, and other steps must exactly match batch numbers. Without this, compliance checks for quality audits cannot be supported. Multi-stage data for a single order must be linked in production order to avoid stage misalignment during traceability.
Configuration Settings
This page’s configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | The effective content length of a single core process document for this category mostly falls within this range, covering complete audit basis |
responseData | Enabled | Full return of traceability data such as batch ledgers and test reports is required to support supplier and process quality audits |
detail | High | Color parameters, plate version IDs, and other details for printed packaging require precise matching to avoid audit deviations from vague citations |
| Citation Variable Scope | Bind to the current production batch | Data for this category updates by order and batch, so variables must be limited to calling only data sources for the corresponding batch |
| Single Citation Limit | Top 3–5 entries | The core basis for a single-batch audit usually does not exceed 5 documents. Too many entries will interfere with the model’s audit logic |
Three Common Configuration Errors
- Symptom: The reference variable dropdown menu for the knowledge base search node in the workflow has no optional values. The corresponding batch knowledge base cannot be dynamically specified. Cause: The production batch variable is not set as a globally callable scope, or data source permissions for the current production batch are not bound.
- Symptom: Different sources of production data cannot be distinguished in logs. Field content is duplicated or lacks clear identifiers. Cause: No source identification field was added during data import, or log source differentiation rules are not configured.
- Symptom: Forged citation IDs that do not match the actually submitted data appear in model-generated responses. Cause: The
detailconfiguration item is not enabled, orquoteMaxTokenis set too small to retrieve complete traceability data. The model cannot verify citation validity.
How to Verify Correct Configuration
- Trigger a simulated production batch audit process. Check if the reference variable dropdown menu for the knowledge base search node displays optional data sources for the corresponding batch, to confirm the variable configuration scope is correct.
- View workflow logs. Confirm that each traceability data carries an identifier that distinguishes its source, allowing recognition of different data types such as printing press data and test reports.
- Cross-check citation IDs in model-generated responses against the IDs of submitted traceability data to confirm citation accuracy.
- Adjust the value of
quoteMaxToken. Verify that the length of returned traceability content matches the configuration requirements, to confirm the parameter takes effect.
The values provided here are common starting points, and should be evaluated against the user’s own samples.